change order of paper

_bibliography/papers.bib

@@ -14,16 +14,7 @@ @inproceedings{zaidi_2023
   selected={false},
 }
 
-@inproceedings{Lopez2024align,
-  bibtex_show={true},
-  author={{Lopez Latouche}, Gaëtan and Carbonneau, Marc-André and Swanson, Ben},
-  abstract={Real world deployments of word alignment are almost certain to cover both high and low resource languages.  However, the state-of-the-art for this task recommends a different model class depending on the availability of gold alignment training data for a particular language pair.  We propose BinaryAlign, a novel word alignment technique based on binary sequence labeling that outperforms existing approaches in both scenarios, offering a unifying approach to the task.   Additionally, we vary the specific choice of multilingual foundation model, perform stratified error analysis over alignment error type, and explore the performance of BinaryAlign on non-English language pairs. We make our source code publicly available.},
-  booktitle = {ACL},
-  title={BinaryAlign: Word Alignment as Binary Sequence Labeling}, 
-  year={2024},
-  preview={binalign.png},
-  selected={true}
-}
+
 
 @inproceedings{vanniekerk2024WD,
   bibtex_show={true},
@@ -59,6 +50,17 @@ @inproceedings{Dib2023
   selected={true}
 }
 
+@inproceedings{Lopez2024align,
+  bibtex_show={true},
+  author={{Lopez Latouche}, Gaëtan and Carbonneau, Marc-André and Swanson, Ben},
+  abstract={Real world deployments of word alignment are almost certain to cover both high and low resource languages.  However, the state-of-the-art for this task recommends a different model class depending on the availability of gold alignment training data for a particular language pair.  We propose BinaryAlign, a novel word alignment technique based on binary sequence labeling that outperforms existing approaches in both scenarios, offering a unifying approach to the task.   Additionally, we vary the specific choice of multilingual foundation model, perform stratified error analysis over alignment error type, and explore the performance of BinaryAlign on non-English language pairs. We make our source code publicly available.},
+  booktitle = {ACL},
+  title={BinaryAlign: Word Alignment as Binary Sequence Labeling}, 
+  year={2024},
+  preview={binalign.png},
+  selected={true}
+}
+
 
 @inproceedings{zhu_2022,
   title={EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis},